py2lcov - Translate Python Coverage.py data to lcov format — LCOV 2.5 documentation

# py2lcov - Translate Python `Coverage.py` data to lcov format

Manual section:

  1

Manual group:

  LCOV Tools

## NAME

py2lcov

  Translate Python `Coverage.py` data to lcov format

## SYNOPSIS

    py2lcov [--output mydata.info] [--test-name name] [options] coverage.dat+

## DESCRIPTION

`py2lcov` traverses Python coverage data in one or more coverage data files (generated by the `Coverage.py` module) and translates it into LCOV `.info` format.

Note that the `--no-functions` argument may result in subtly inconsistent coverage data if a `no-functions` coverage DB is merged with one which contains derived function data. This is because the `def myFunc(...)` line will acquire a hit count of 1 (the Python interpreter considers the `def` to have been executed when the line is interpreted, i.e., when the function is defined). This will generate an `inconsistent` error if the function is not executed in your tests because the (derived) function will have a zero hit count but the first line of the function has a non-zero count.

Best practice: Either always specify `--no-functions` or never specify `--no-functions`.

`py2lcov` uses `Coverage.py` to extract coverage data. The name of the `Coverage.py` executable may differ on your platform. By default, `py2lcov` uses `coverage` (expected to be in your PATH). You can use a different executable via the `COVERAGE_COMMAND` environment variable or the `--cmd` command line option.

`py2lcov` does not implement the full suite of LCOV features (e.g., filtering, substitutions, etc.). Generate the translated LCOV format file and then read the data back into `lcov` to use those features.

Branch Coverage Limitations

Note that the XML coverage data format does not contain enough information to deduce exactly which branch expressions have been taken or not taken. It reports the total number of branch expressions associated with a particular line, and the number of those which have been taken. There is no way to know (except, possibly by inspection of surrounding code and/or some understanding of your implementation) exactly which ones.

This is a problem in at least 2 ways:

- It is not straightforward to use the result to improve your regression suite because you don’t really know what was exercised/not exercised.

- Coverage data merge is problematic. For example: you have two testcase XML files, each of which hit 4 of 8 branches on some line. Does that mean you hit 4 of them (both tests exercised the same code), all 8 (tests exercised disjoint subsets), or some number between?

This implementation assumes that the first M branches are the ones which are hit and the remaining N-M were not hit, in each testcase. Thus, the combined result in the above example would claim 4 of 8 branches hit. This definition turns out to be a lower bound.

## OPTIONS

`-i`, `--input` file

  DEPRECATED: Specify the input XML file from `coverage.py`.

`-o`, `--output` file

  Specify the output LCOV `.info` file. Default: `py2lcov.info`.

`-t`, `--test-name`, `--testname` name

  Specify the test name for the `TN:` entry in the LCOV `.info` file.

`-e`, `--exclude` patterns

  Specify exclude file patterns separated by commas.

`-v`, `--verbose`

  Print debug messages.

`--version-script` script

  Version extract callback script.

`--checksum`

  Compute line checksum. See lcov(1).

`--no-functions`

  Do not derive function coverpoints.

`--tabwidth` n

  Tab size when computing indent. Default: 8.

`-k`, `--keep-going`

  Ignore errors and continue processing.

`--cmd` executable

  Executable used to extract Python coverage data (e.g., `python3-coverage`). Default: `coverage` (or value from `COVERAGE_COMMAND` environment variable).

Note that `py2lcov` is a stand-alone Python executable - and so does not directly support the standard LCOV command line and RC options - e.g., for filtering, file inclusion and exclusion, etc. To use these options, you will have to first use `py2lcov` to capture your coverage DB, and then apply the options you want to use via `lcov -a pycov.info <options> ...`. See lcov(1) for details.

## EXAMPLES

Basic workflow:

    $ export PYCOV_DATA=path/to/pydata

    # For 'coverage' versions 6.6.1 and higher (support "--data-file"):
    $ coverage run --data-file=${PYCOV_DATA} --append --branch \
        /path/to/myPythonScript.py args_to_my_python_script

    # For older versions without "--data-file" support:
    $ COVERAGE_FILE=${PYCOV_DATA} coverage run --append --branch \
        /path/to/myPythonScript.py args_to_my_python_script

    # Translate to LCOV format:
    $ py2lcov -o pydata.info ${PYCOV_DATA}

    # Apply filtering:
    $ lcov -a pydata.info -o filtered.info --filter branch,blank

    # Generate HTML report:
    $ genhtml -o html_report pydata.info

    # Generate filtered report:
    $ genhtml -o html_filtered filtered.info

    # Use differential coverage to see what filtering did:
    $ genhtml -o html_differential --baseline-file mydata.info filtered.info

Deprecated XML input mode:

    # First translate from Python coverage data to XML:
    $ coverage xml --data-file=${PYCOV_DATA} -o pydata.xml

    # Then translate XML to LCOV format:
    $ py2lcov -i pydata.xml -o pydata.info --version-script myCovScript

## ENVIRONMENT

`COVERAGE_COMMAND`

  Override the default `coverage` executable used to extract Python coverage data.

`COVERAGE_FILE`

  Default input file if no files are specified on the command line.

## AUTHOR

Henry Cox <henry.cox@mediatek.com>

## SEE ALSO

lcov(1), genhtml(1), geninfo(1)

- `Coverage.py` documentation: https://coverage.readthedocs.io